Parity-based fairness notions are defined over the values of a classifier's
confusion matrix [1]}.
They assume fairness once a set of predictive rates is equal for each
demographic group,
for instance the positive prediction rate,
true positive prediction rate, or false positive prediction rate,
as we will see below.
For this work,
we focus on two such notions which are currently prevalent
in literature: demographic parity and equalised odds.
We selected these notions as they seem to have higher citation counts as others [2]}
and are accounted for by related literature as well [1]}, [4]}, [5]}.
